Your browser doesn't support javascript.
loading
A closer examination of the "rural mortality penalty": Variability by race, region, and measurement.
Cohen, Steven; Metcalf, Emily; Brown, Monique J; Ahmed, Neelam H; Nash, Caitlin; Greaney, Mary L.
Afiliação
  • Cohen S; Associate Professor, Department of Public Health, University of Rhode Island, Kingston, Rhode Island, USA.
  • Metcalf E; Research Assistant, Department of Psychology, University of Rhode Island, Kingston, Rhode Island, USA.
  • Brown MJ; Associate Professor, Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA.
  • Ahmed NH; Research Assistant, School of Public Health, Brown University, Providence, Rhode Island, USA.
  • Nash C; Associate Teaching Professor, Department of Public Health, University of Rhode Island, Kingston, Rhode Island, USA.
  • Greaney ML; Professor & Chairperson, Department of Public Health, University of Rhode Island, Kingston, Rhode Island, USA.
J Rural Health ; 2024 Aug 28.
Article em En | MEDLINE | ID: mdl-39198995
ABSTRACT

BACKGROUND:

Racial health disparities are well documented and pervasive across the United States. Evidence suggests there is a "rural mortality penalty" whereby rural residents experience poorer health outcomes than their urban counterparts. However, whether this penalty is uniform across demographic groups and U.S. regions is unknown.

OBJECTIVE:

To assess how rural-urban differences in mortality differ by race (Black vs. White), U.S. region, poverty status, and how rural-urban status is measured.

METHODS:

Age-standardized mortality rates (ASMRs)/100,000 by U.S. county (2015-2019) were obtained by race (Black/White) from the CDC Wonder National Vital Statistics System (2015-2019) and were merged with county-level social determinants from the US Census Bureau and County Health Rankings. Multivariable generalized linear models assessed the associations between rurality (index of relative rurality [IRR] decile, rural-urban continuum codes, and population density) and race-specific ASMR, overall, and by Census region and poverty level.

RESULTS:

Overall, average ASMR was significantly higher in rural areas than urban areas for both Black (rural ASMR = 949.1 per 100,000 vs. urban ASMR = 857.7 per 100,000) and White (rural ASMR = 903.0 per 100,000 vs. urban ASMR = 791.6 per 100,000) populations. The Black-White difference was substantially higher (p < 0.001) in urban than in rural counties (65.1 per 100,000 vs. 46.1 per 100,000). Black-White differences and patterns in ASMR varied notably by poverty status and U.S. region.

CONCLUSION:

Policies and interventions designed to reduce racial health disparities should consider and address key contextual factors associated with geographic location, including rural-urban status and socioeconomic status.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Rural Health Assunto da revista: ENFERMAGEM / SAUDE PUBLICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Rural Health Assunto da revista: ENFERMAGEM / SAUDE PUBLICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido